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Abstract: On the value of machine learning for addressing spatial-temporal soil moisture network inconsistencies (AGU25)

On the value of machine learning for addressing spatial-temporal soil moisture network inconsistencies

John D Bolten, NASA Goddard Space Flight Center, Greenbelt, United States, ManhHung Le, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Michael H Cosh, U. S. Department of Agriculture, Beltsville, United States
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